McmcChains-class


An object of this class holds estimates of each parameter at each iteration of the MCMC simulation.


Bayesian hierarchical mixture models for batch effects and copy
number.

Jacob Carey

CNPBayes

Bayesian mixture models for copy number polymorphisms

McmcChains-class function

 <dl>
<dt><code>theta</code></dt><dd>means of each batch and component</dd> <dt><code>sigma2</code></dt><dd>variances of each batch and component</dd> <dt><code>pi</code></dt><dd>mixture probabilities</dd> <dt><code>mu</code></dt><dd>overall mean in a marginal. In batch model, averaged across batches</dd> <dt><code>tau2</code></dt><dd>overall variance in a marginal model. In a batch model, weighted average by precision across batches.</dd> <dt><code>nu.0</code></dt><dd>shape parameter for sigma.2 distribution</dd> <dt><code>sigma2.0</code></dt><dd>rate parameter for sigma.2 distribution</dd> <dt><code>logprior</code></dt><dd>log likelihood of prior.</dd> <dt><code>loglik</code></dt><dd>log likelihood.</dd> <dt><code>zfreq</code></dt><dd>table of z.</dd> <dt><code>z</code></dt><dd>latent variables</dd> </dl>

Slots

An object of this class holds estimates of each parameter at each iteration of the MCMC simulation.

McmcChains-class: An object to hold estimated paraeters.

Description

Arguments

Slots